Institutional Diagnosis of University Students´ Perceptions of Generative AI: Differences across Fields of Knowledge
Abstract
This study aims to highlight the importance of universities developing their own institutional diagnostics that reflect students’ real needs and their approaches to GAI according to their fields of knowledge. A cross-sectional study was conducted with the participation of 2,256 students representing seven fields of knowledge. The results reveal both shared perceptions among students from different areas and differences in how they use and value GAI in their performance and learning. The study concludes that it is essential for institutions to examine their own realities and design more targeted strategies. For the student population analyzed, institutional strategies should: 1) prioritize reducing gaps in access to and use of GAI across different fields of knowledge; 2) move from general frameworks and criteria guiding GAI use toward the development of protocols that define procedures for addressing specific situations; and 3) promote the appropriation of GAI as a complementary or constitutive artifact in learning processes, rather than a substitute for cognitive development.
Copyright (c) 2025 Juan Carlos Castellanos Ramírez, Shamaly Alhelí Niño Carrasco, Yessica Espinosa Diaz

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